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float32
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180
frame_index
int64
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5.4k
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int64
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2.233333
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2.266667
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2.3
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2.366667
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2.4
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2.433333
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2.466667
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2.5
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2.533333
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2.566667
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2.6
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2.633333
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2.666667
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2.7
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2.733333
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2.766667
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2.8
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2.833333
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2.866667
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2.9
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2.933333
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2.966667
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3
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3.033333
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3.066667
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3.1
93
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3.133333
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3.166667
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3.2
96
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3.233333
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3.266667
98
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98
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[ 16.843711853027344, -96.587890625, -52.96131896972656, 22.761844635009766, 4.521248817443848, -43.79597854614258, 0.0024280548095703125 ]
3.3
99
0
99
0
End of preview. Expand in Data Studio

This dataset was created using LeRobot.

Dataset Description

Real-robot evaluation rollouts recorded on a Rebot B601 7-DoF arm, from the LeWAM project. Every episode here is a policy rollout on the physical robot — not a teleoperated demonstration — scored by a human operator immediately after it ran.

  • Task: non-prehensile PushT (b601_pusht): the arm pushes a T-shaped block into a target pose without grasping it. Shares only its name with the simulated PushT. Trained on ehalicki/b601_pusht.
  • Policy: LeWAM self-supervised WAM (selfwam_mot_mse_frozen), the same joint action + future-latent objective, but with the vision encoder frozen
  • Success rate: 12/30 = 40.0%
  • Episodes: 30 · frames: 56963 · fps: 30 · robot time: 31.6 min
  • Wall-clock: 47.2 min (median 96s, max 293s per episode) — longer than robot time because inference on this hardware runs slower than real time
  • wandb run: tkxakevf (eval-pusht_selfwam_mot_mse_frozen)
  • Episode cap: 5400 steps — an episode that hits it is scored a failure.

Observations

Three synchronised camera streams (observation.images.zed_left, observation.images.zed_right from a ZED Mini, observation.images.wrist_cam from a wrist-mounted USB camera) plus observation.state. action is the 7-DoF joint command the policy emitted.

Note the policies were served torque-only state (observation.state sliced to *.torq); the observation.state recorded here is the robot's full state vector, so reproducing what the policy actually saw means applying the same slice.

Per-episode scoring

eval_session.json holds the operator's label for each episode:

episode success steps seconds
0 4370 210.2
1 1315 93.0
2 1994 99.9
3 290 16.4
4 3235 152.1
5 552 28.9
6 2540 121.8
7 2144 103.2
8 1125 55.4
9 2225 110.9
10 543 28.5
11 1928 93.2
12 1378 68.8
13 2000 96.5
14 1166 60.8
15 1600 77.1
16 477 25.7
17 2972 141.9
18 2218 106.0
19 2823 134.9
20 1254 61.9
21 906 44.2
22 5400 293.3
23 2234 108.7
24 680 34.5
25 2162 105.4
26 2985 144.3
27 1117 54.1
28 2294 109.8
29 1065 52.2

Dataset Structure

meta/info.json:

{
    "codebase_version": "v3.0",
    "fps": 30,
    "features": {
        "observation.state": {
            "dtype": "float32",
            "shape": [
                21
            ],
            "names": [
                "shoulder_pan.pos",
                "shoulder_lift.pos",
                "elbow_flex.pos",
                "wrist_flex.pos",
                "wrist_yaw.pos",
                "wrist_roll.pos",
                "gripper.pos",
                "shoulder_pan.torq",
                "shoulder_lift.torq",
                "elbow_flex.torq",
                "wrist_flex.torq",
                "wrist_yaw.torq",
                "wrist_roll.torq",
                "gripper.torq",
                "shoulder_pan.vel",
                "shoulder_lift.vel",
                "elbow_flex.vel",
                "wrist_flex.vel",
                "wrist_yaw.vel",
                "wrist_roll.vel",
                "gripper.vel"
            ]
        },
        "observation.images.zed_left": {
            "dtype": "video",
            "shape": [
                376,
                672,
                3
            ],
            "names": [
                "height",
                "width",
                "channels"
            ],
            "info": {
                "is_depth_map": false,
                "video.height": 376,
                "video.width": 672,
                "video.codec": "h264",
                "video.pix_fmt": "yuv420p",
                "video.fps": 30,
                "video.channels": 3,
                "has_audio": false,
                "video.g": 2,
                "video.crf": 30,
                "video.preset": null,
                "video.fast_decode": 0,
                "video.video_backend": "pyav",
                "video.extra_options": {}
            }
        },
        "observation.images.zed_right": {
            "dtype": "video",
            "shape": [
                376,
                672,
                3
            ],
            "names": [
                "height",
                "width",
                "channels"
            ],
            "info": {
                "is_depth_map": false,
                "video.height": 376,
                "video.width": 672,
                "video.codec": "h264",
                "video.pix_fmt": "yuv420p",
                "video.fps": 30,
                "video.channels": 3,
                "has_audio": false,
                "video.g": 2,
                "video.crf": 30,
                "video.preset": null,
                "video.fast_decode": 0,
                "video.video_backend": "pyav",
                "video.extra_options": {}
            }
        },
        "observation.images.wrist_cam": {
            "dtype": "video",
            "shape": [
                360,
                640,
                3
            ],
            "names": [
                "height",
                "width",
                "channels"
            ],
            "info": {
                "is_depth_map": false,
                "video.height": 360,
                "video.width": 640,
                "video.codec": "h264",
                "video.pix_fmt": "yuv420p",
                "video.fps": 30,
                "video.channels": 3,
                "has_audio": false,
                "video.g": 2,
                "video.crf": 30,
                "video.preset": null,
                "video.fast_decode": 0,
                "video.video_backend": "pyav",
                "video.extra_options": {}
            }
        },
        "action": {
            "dtype": "float32",
            "shape": [
                7
            ],
            "names": [
                "shoulder_pan.pos",
                "shoulder_lift.pos",
                "elbow_flex.pos",
                "wrist_flex.pos",
                "wrist_yaw.pos",
                "wrist_roll.pos",
                "gripper.pos"
            ]
        },
        "timestamp": {
            "dtype": "float32",
            "shape": [
                1
            ],
            "names": null
        },
        "frame_index": {
            "dtype": "int64",
            "shape": [
                1
            ],
            "names": null
        },
        "episode_index": {
            "dtype": "int64",
            "shape": [
                1
            ],
            "names": null
        },
        "index": {
            "dtype": "int64",
            "shape": [
                1
            ],
            "names": null
        },
        "task_index": {
            "dtype": "int64",
            "shape": [
                1
            ],
            "names": null
        }
    },
    "total_episodes": 30,
    "total_frames": 56963,
    "total_tasks": 1,
    "chunks_size": 1000,
    "data_files_size_in_mb": 100,
    "video_files_size_in_mb": 200,
    "data_path": "data/chunk-{chunk_index:03d}/file-{file_index:03d}.parquet",
    "video_path": "videos/{video_key}/chunk-{chunk_index:03d}/file-{file_index:03d}.mp4",
    "robot_type": null,
    "splits": {
        "train": "0:30"
    }
}

Citation

BibTeX:

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